Study schedule

Study schedule

The standard study period is seven semesters, including the Bachelor’s thesis. It includes six theoretical semesters, of which one takes place abroad, and one internship semester.

Course content:

  • Key competencies for mathematics, such as modelling and simulation, numerics,optimisation and stochastics
  • Computer Science knowledge
  • Knowledge of at least one applied science such as electrical engineering, mechanical engineering, physics, economics etc.

A detailed overview of courses can be found further down on the page – the exact course description can be opened by clicking on the name of the course.
You can also download an overview of the study schedule as a PDF here.
You can choose applied courses from many subject areas at the University: mechanical
engineering, automotive engineering, electrical engineering, control technology, civil
engineering (e.g. statics, surveying), chemistry, physics, mechanics, chemical engineering, geographic information systems, thermodynamics, mechatronics, business administration, biomechanics etc.

A list of the approved courses can be found in the study plan. Please consult
the head of the exam board if you wish to attend a course that is not on this list. The exam board will then make a decision about it in a timely manner.

You can put together your own course combinations. In this way you can directly test out what you have learnt in the core Mathematics and Computer Science courses in one or more areas of application.

Provided you achieve the adequate grades, the Bachelor’s programme in Scientific
Computing gives you access to most relevant Master’s study courses, in particular to the Master’s in Stochastics at Munich University of Applied Sciences. For access to other Master’s study courses, please ask for information relating specifically to those, as each programme is administered separately.

Examples of electives in Mathematics:

  • Numerical Mathematics II
  • Theory of Probability and Statistics II
  • Optimisation
  • Finite Elements and Related Methods
  • Differential Equations
  • Supercomputing
  • System Theory
  • Cryptology
  • Mathematical Methods in Computer Graphics
  • Introduction to Functional Analysis
  • Financial Mathematics


Examples of electives in Computer Science:

  • Computer Graphics
  • Database Systems
  • Networks
  • Software Architecture
  • Operating Systems
  • Compilers
  • Distributed Software Systems
  • Computer Architecture
  • Chip Cards
  • Other courses from the Bachelor’s programme in Computer Science


Examples of electives in applications:

  • Structural Engineering I, II (FK 01,02)
  • Foundation in Hydraulic Engineering (FK 01,02)
  • Technical Mechanics (FK 03, 04, 05, 06)
  • Computer?based Metrology (FK 03)
  • Business Administration 1 or 2 (FK 04)
  • Simulation in Matlab and Simulink (FK 04)
  • Chemistry (FK 05)
  • Heat and Mass Transfer (FK 05)
  • Technical Optics (FK 06)
  • Bioinformatics (FK 06)
  • GIS Cartography (FK 08)
  • Process and Environmental Engineering (FK 09)

SemesterCourses (ECTS
1Software Development I (8)General Studies course (2)IT Systems I
Technical Computer Science (5)Linear Algebra (5)Analysis (5)
stage2Software Development II (8)General Studies course (2)IT Systems II (5)Theoretical Computer Science (5)Discrete Mathematics (5)Applied Mathematics (5)
3Numercal Mathematics (5)Operations Research (5)Differential Calculus in Computations and Differential Equations (5)Integral Transformations (5)Theory of Probability and Statistics I (5)Algorithms and Data Structure (5)
4Internship (Practical Semester) (25)Course Accompanying the Internship (5)
5Mathematics elective (5)Mathematics elective (5)Mathematics elevtive (5)Course in Applications (5)Course in Applications (5)Course in Applications (5)
stage6Mathematical Modelling and Simulation (5)Mathematics elective (5)Course in Applications (5)Software Engineering (5)Computer Science elevtive (5)Computer Science elective (5)
7Bachelor Thesis (15)Modelling Seminar Project Study (5)Mathematics elective (5)Mathematics elective (5)

Study plans, study and exam regulations

Here you will find guidelines relating to examinations, such as study plans and study and
exam regulations.

For an overview of the programme content and courses, see right under ABOUT THE
PROGRAMME – Study schedule, content and courses.

Version First?year student study plan Study and exam regulations

October 2009 SPO from the winter semester of 2009
Appendix to SPO, winter semester of 2009

Information about the Internship (practical semester)

Regulations for carrying out a practical semester at the state universities of applied sciences in Bavaria

Main pages from Munich University of Applied Sciences relating to the practical semester

Mathematical examples

You know more maths than you think >
Trailer about the Year of Mathematics
Mathematical Moments >
Examples of applied mathematics
Year of Mathematics >
Homepage of the Year of Mathematics
Mathematical problems >
New mathematical problems ervery month, provided by IBM Research
Maths games >
Mathematical sculpture competition run by Die Zeit newspaper (until 29.02.08)

Universities offering SC and clubs

The Australian National University >
ANU - Canberra, Australia - Computational Science
State University of New York >
State University of New York, Brockport, USA - Computational Sciences
Other universities >
Links to other universities offering Computational Sciences
Societies >
American Mathematical Society

Mathematical Software

Netlib >
Library of mathematical routines
LAPack >
Linear Algebra Package
Mathematica >
Computer algebra system
Scilab >
similar to Matlab/Simulink, but freeware
SciPy >
Python and SciPy

LaTex - mathematical typesetting/slides

MIKteX >
for Windows